code: def _get_buffered_slice_with_paddings(d, inds):
      element_at_t = []
      for index in inds:
          if index < len(d):
              element_at_t.append(d[index])
          else:
              # zero pad similar to the last element.
              element_at_t.append(
                  tree.map_structure(np.zeros_like, d[-1])
              )
      return element_at_t
  
imports: import copy
  import logging
  import math
  from typing import Any, Dict, List, Optional
  import numpy
  import tree
  from gymnasium.spaces import Space
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.view_requirement import ViewRequirement
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.spaces.space_utils import flatten_to_single_ndarray, get_dummy_batch_for_space
  from ray.rllib.utils.typing import EpisodeID, EnvID, TensorType, ViewRequirementsDict
  from ray.util.annotations import PublicAPI
label_desc: Use image node_id 2 for calling a global function with example usage: _get_buffered_slice_with_paddings(d, inds) and returns: element_at_t